Big Compute 22: Rescale Launches Compute Recommendation Engine

Can AI give you reliable computing configuration suggestions? The executives at Rescale, the host of last week's Big Compute 22, believe it can. Accordingly, it's launching a new Compute Recommendation Engine. 

Joris Poort, Founder and CEO of Rescale, said, “We are announcing our Compute Recommendation Engine, created to optimize the performance of any workload across any compute architecture. The engine leverages a data-driven and AI-driven approach to performance optimization. It shows over 90% validation accuracy in identifying computational bottlenecks in workloads, and in assessing the scalability of a job, it has over 95% accuracy.”

The Compute Engine is the foundation for new tools such as Job Optimizer, Performance Profiles, and Performance Optimization, according to Edward Hsu, Rescale's Chief Product Officer. He said, “The Rescale Compute Optimizer automatically identifies best performing architecture and configuration based on the workload in real time ... Rescale can also recommend how much computing should be used for optimized performance. Workload performance is determined by the software used and the models processed.”

The Rescale Performance Profile allows users to “analyze the performance of specific models and proprietary workloads, build their own performance intelligence, to find the best time to solve and the cost tradeoffs,” said Hsu. “The Recommendation Engine guides users on which architecture they should investigate. Customers have been able to identify performance improvements of 30% or more just by developing their own workload performance profile.”

Rescale customers can get early access to these features (currently in Private Beta). General availability is expected early next year.

Hsu pointed out, “Today’s HPC needs are Not just about running batch jobs but also about highly visual interactive simulations.” In response, the company is announcing the Rescale Elastic Cloud workstation.  The virtual workstations are offered to large companies as well as smaller shops. Pricing depends on the computing architecture required, but, according to Hsu, the cost works out to roughly “a few pennies per core hour.”

NVIDIA CEO Jensen Huang, a special guest at Big Compute 22, hailed the rise of AI-accelerated computing. “AI is turbo-charging science and engineering. “Fusing principled and data-driven methods, physics-ML AI models let us explore our design space at speeds and scales many orders of magnitude greater than ever before,” said Jensen Huang, NVIDIA founder and CEO. “Rescale is at the intersection of these major trends. NVIDIA’s accelerated and AI computing platform perfectly complements Rescale to advance industrial scientific computing.”

At Big Compute 22, NVIDIA and Rescale announced they are teaming up to integrate NVIDIA's AI platform into Rescale’s on-demand HPC offering. 

More Rescale Coverage

Path to Digitally Transform New Product Innovation

Download this report to learn the key challenges organizations are facing, what outcomes they are looking to achieve, as well as Rescale’s approach in helping our customers get to these outcomes.